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  "name": "MetaQA KG–QA (Navigation-Ready Encoding)",
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  "description": "MetaQA KG–QA is a navigation-ready, identifier-encoded packaging of the original MetaQA movie-domain knowledge graph question answering benchmark introduced by Zhang et al. It preserves the original knowledge graph and 407,513 questions across 1–3 hops and the original train/dev/test split assignments while materializing explicit start and answer entities for graph navigation. The encoded graph contains 43,234 entities, 9 relation types, and 134,741 triples. Entities and relations use local opaque EID/RID identifiers with human-readable mappings in metadata files; the encoding carries no additional semantics and does not change the provenance or authorship of MetaQA.",
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  "dateModified": "2026-09-25",
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    "movie knowledge graph",
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      "name": "Alexander J. Smola"
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      "@type": "sc:Person",
      "name": "Le Song"
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        {
          "@type": "cr:Field",
          "@id": "metaqa_nhop.csv/Question-Paraphrased",
          "name": "Question-Paraphrased",
          "description": "Serialized list of available question text variants, including the canonical question.",
          "dataType": "sc:Text",
          "source": {
            "fileObject": {
              "@id": "metaqa_nhop.csv_fileobject"
            },
            "extract": {
              "column": "Question-Paraphrased"
            }
          }
        },
        {
          "@type": "cr:Field",
          "@id": "metaqa_nhop.csv/Source",
          "name": "Source",
          "description": "Human-readable start/topic entity.",
          "dataType": "sc:Text",
          "source": {
            "fileObject": {
              "@id": "metaqa_nhop.csv_fileobject"
            },
            "extract": {
              "column": "Source"
            }
          }
        },
        {
          "@type": "cr:Field",
          "@id": "metaqa_nhop.csv/Source-Entity",
          "name": "Source-Entity",
          "description": "Local EID of the explicit start/topic entity.",
          "dataType": "sc:Text",
          "source": {
            "fileObject": {
              "@id": "metaqa_nhop.csv_fileobject"
            },
            "extract": {
              "column": "Source-Entity"
            }
          }
        },
        {
          "@type": "cr:Field",
          "@id": "metaqa_nhop.csv/Answer",
          "name": "Answer",
          "description": "Serialized list of valid human-readable gold answer entities.",
          "dataType": "sc:Text",
          "source": {
            "fileObject": {
              "@id": "metaqa_nhop.csv_fileobject"
            },
            "extract": {
              "column": "Answer"
            }
          }
        },
        {
          "@type": "cr:Field",
          "@id": "metaqa_nhop.csv/Answer-Entity",
          "name": "Answer-Entity",
          "description": "Serialized list of local EIDs corresponding to the valid gold answer entities.",
          "dataType": "sc:Text",
          "source": {
            "fileObject": {
              "@id": "metaqa_nhop.csv_fileobject"
            },
            "extract": {
              "column": "Answer-Entity"
            }
          }
        },
        {
          "@type": "cr:Field",
          "@id": "metaqa_nhop.csv/Hops",
          "name": "Hops",
          "description": "Original MetaQA reasoning hop count: 1, 2, or 3.",
          "dataType": "sc:Integer",
          "source": {
            "fileObject": {
              "@id": "metaqa_nhop.csv_fileobject"
            },
            "extract": {
              "column": "Hops"
            }
          }
        },
        {
          "@type": "cr:Field",
          "@id": "metaqa_nhop.csv/SplitLabel",
          "name": "SplitLabel",
          "description": "Original MetaQA dataset split label: train, dev, or test.",
          "dataType": "sc:Text",
          "source": {
            "fileObject": {
              "@id": "metaqa_nhop.csv_fileobject"
            },
            "extract": {
              "column": "SplitLabel"
            }
          }
        }
      ]
    }
  ]
}